DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS

The eggs of purebred chickens always become the major choice for satisfying people’s needs for nutrients. The way to process them is easy, and the prices are relatively cheap for all people. Since the eggs of purebred chickens are in high demand, a device that can detect their qualities more correct...

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Main Authors: Teguh Herlambang, Andy Suryowinoto, Moch Zakaria, Berny Pebo Tomasouw
Format: Article
Language:English
Published: Universitas Pattimura 2022-06-01
Series:Barekeng
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Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5245
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author Teguh Herlambang
Andy Suryowinoto
Moch Zakaria
Berny Pebo Tomasouw
author_facet Teguh Herlambang
Andy Suryowinoto
Moch Zakaria
Berny Pebo Tomasouw
author_sort Teguh Herlambang
collection DOAJ
description The eggs of purebred chickens always become the major choice for satisfying people’s needs for nutrients. The way to process them is easy, and the prices are relatively cheap for all people. Since the eggs of purebred chickens are in high demand, a device that can detect their qualities more correctly and accurately is needed, compared to the conventional method. Objective: An automatic egg quality detector was developed through a camera module of pixy cmucam5 by employing ROI and template RGB methods. The implementation of the ROI method could optimize the system performance, thereby accelerating the process of egg quality detection carried out by the preprocessor of the pixy camera. ROI analyzed the egg image only on the desired pixel area, not the whole pixel. As a result, the ROI method yielded a device and system that could detect the egg quality within the average speed of detection time -/+ 2ms per egg out of 4 trial categories. Meanwhile, the template RGB method was able to improve and ease the ability of the pixy camera module in detecting the egg quality. When the RGB index of the egg was < 234, then the egg was of good quality. Contrarily, when the RGB index of the egg was > 234, the egg quality was in a bad category. The contribution of this paper is to develop a low-cost automatic egg sorting and detection system with the advantages of flexibility in device placement, due to the use of camera modules and object detection accuracy, as well as better response time than using color sensors. Accordingly, the template RGB method produced a device and system which could detect egg quality with average accuracy of 90 % and average error of 10% out of 4 trial categories. And, the results of the trials upon the detector system indicated success in detecting the egg quality.
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spelling doaj-art-87f376fc8ba64dabb0e2e545dec968d02025-08-20T03:05:41ZengUniversitas PattimuraBarekeng1978-72272615-30172022-06-0116256958210.30598/barekengvol16iss2pp569-5825245DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODSTeguh Herlambang0Andy Suryowinoto1Moch Zakaria2Berny Pebo Tomasouw3Information System Department, FEBTD, Universitas Nahdlatul Ulama SurabayaElectircal Engineering Department, Institut Teknologi Adhi Tama SurabayaElectircal Engineering Department, Institut Teknologi Adhi Tama SurabayaMathemathics Department, Universitas PattimuraThe eggs of purebred chickens always become the major choice for satisfying people’s needs for nutrients. The way to process them is easy, and the prices are relatively cheap for all people. Since the eggs of purebred chickens are in high demand, a device that can detect their qualities more correctly and accurately is needed, compared to the conventional method. Objective: An automatic egg quality detector was developed through a camera module of pixy cmucam5 by employing ROI and template RGB methods. The implementation of the ROI method could optimize the system performance, thereby accelerating the process of egg quality detection carried out by the preprocessor of the pixy camera. ROI analyzed the egg image only on the desired pixel area, not the whole pixel. As a result, the ROI method yielded a device and system that could detect the egg quality within the average speed of detection time -/+ 2ms per egg out of 4 trial categories. Meanwhile, the template RGB method was able to improve and ease the ability of the pixy camera module in detecting the egg quality. When the RGB index of the egg was < 234, then the egg was of good quality. Contrarily, when the RGB index of the egg was > 234, the egg quality was in a bad category. The contribution of this paper is to develop a low-cost automatic egg sorting and detection system with the advantages of flexibility in device placement, due to the use of camera modules and object detection accuracy, as well as better response time than using color sensors. Accordingly, the template RGB method produced a device and system which could detect egg quality with average accuracy of 90 % and average error of 10% out of 4 trial categories. And, the results of the trials upon the detector system indicated success in detecting the egg quality.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5245roirgbpurebred chicken eggconveyorpixy cmucam5eqq qualiti detector
spellingShingle Teguh Herlambang
Andy Suryowinoto
Moch Zakaria
Berny Pebo Tomasouw
DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS
Barekeng
roi
rgb
purebred chicken egg
conveyor
pixy cmucam5
eqq qualiti detector
title DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS
title_full DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS
title_fullStr DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS
title_full_unstemmed DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS
title_short DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS
title_sort developing design of automatic egg quality detector using roi and rgb template methods
topic roi
rgb
purebred chicken egg
conveyor
pixy cmucam5
eqq qualiti detector
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5245
work_keys_str_mv AT teguhherlambang developingdesignofautomaticeggqualitydetectorusingroiandrgbtemplatemethods
AT andysuryowinoto developingdesignofautomaticeggqualitydetectorusingroiandrgbtemplatemethods
AT mochzakaria developingdesignofautomaticeggqualitydetectorusingroiandrgbtemplatemethods
AT bernypebotomasouw developingdesignofautomaticeggqualitydetectorusingroiandrgbtemplatemethods